Pandas Profiling Report

Dataset statistics

Number of variables	18
Number of observations	43227
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	7.3 MiB
Average record size in memory	176.4 B

Variable types

Numeric	9
Categorical	9

Alerts

`age` is highly overall correlated with `Age Group`	High correlation
`month` is highly overall correlated with `contact`	High correlation
`pdays` is highly overall correlated with `previous` and 1 other fields	High correlation
`previous` is highly overall correlated with `pdays`	High correlation
`contact` is highly overall correlated with `month`	High correlation
`poutcome` is highly overall correlated with `pdays`	High correlation
`Age Group` is highly overall correlated with `age`	High correlation
`default` is highly imbalanced (86.5%)	Imbalance
`poutcome` is highly imbalanced (53.4%)	Imbalance
`job` has 5022 (11.6%) zeros	Zeros
`month` has 2798 (6.5%) zeros	Zeros
`campaign` has 16723 (38.7%) zeros	Zeros
`pdays` has 35384 (81.9%) zeros	Zeros
`previous` has 35384 (81.9%) zeros	Zeros

Reproduction

Analysis started	2023-07-16 04:06:24.016104
Analysis finished	2023-07-16 04:07:02.538992
Duration	38.52 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

age
Real number (ℝ)

Distinct	77
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	22.809679

Minimum	0
Maximum	76
Zeros	12
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.7 MiB

Quantile statistics

Minimum	0
5-th percentile	9
Q1	15
median	21
Q3	30
95-th percentile	41
Maximum	76
Range	76
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	10.557529
Coefficient of variation (CV)	0.46285302
Kurtosis	0.32287076
Mean	22.809679
Median Absolute Deviation (MAD)	7
Skewness	0.6853475
Sum	985994
Variance	111.46142
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
14	1997	4.6%
13	1912	4.4%
15	1904	4.4%
16	1856	4.3%
17	1840	4.3%
18	1735	4.0%
12	1692	3.9%
19	1632	3.8%
21	1425	3.3%
20	1389	3.2%
Other values (67)	25845	59.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	12	< 0.1%
1	35	0.1%
2	48	0.1%
3	77	0.2%
4	127	0.3%
5	196	0.5%
6	296	0.7%
7	519	1.2%
8	781	1.8%
9	880	2.0%

Value	Count	Frequency (%)
76	2	< 0.1%
75	1	< 0.1%
74	2	< 0.1%
73	2	< 0.1%
72	2	< 0.1%
71	3	< 0.1%
70	2	< 0.1%
69	3	< 0.1%
68	9	< 0.1%
67	3	< 0.1%

job
Real number (ℝ)

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.3234784

Minimum	0
Maximum	11
Zeros	5022
Zeros (%)	11.6%
Negative	0
Negative (%)	0.0%
Memory size	1.7 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	4
Q3	7
95-th percentile	9
Maximum	11
Range	11
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.2815767
Coefficient of variation (CV)	0.7590131
Kurtosis	-1.2808958
Mean	4.3234784
Median Absolute Deviation (MAD)	3
Skewness	0.26456574
Sum	186891
Variance	10.768746
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
1	9440	21.8%
4	8840	20.5%
9	7272	16.8%
0	5022	11.6%
7	4042	9.4%
5	2128	4.9%
6	1486	3.4%
2	1414	3.3%
10	1222	2.8%
3	1190	2.8%
Other values (2)	1171	2.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5022	11.6%
1	9440	21.8%
2	1414	3.3%
3	1190	2.8%
4	8840	20.5%
5	2128	4.9%
6	1486	3.4%
7	4042	9.4%
8	902	2.1%
9	7272	16.8%

Value	Count	Frequency (%)
11	269	0.6%
10	1222	2.8%
9	7272	16.8%
8	902	2.1%
7	4042	9.4%
6	1486	3.4%
5	2128	4.9%
4	8840	20.5%
3	1190	2.8%
2	1414	3.3%

marital
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.7 MiB

1	25946
2	12250
0	5031

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	43227
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	1
4th row	1
5th row	2

Common Values

Value	Count	Frequency (%)
1	25946	60.0%
2	12250	28.3%
0	5031	11.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	25946	60.0%
2	12250	28.3%
0	5031	11.6%

Most occurring characters

Value	Count	Frequency (%)
1	25946	60.0%
2	12250	28.3%
0	5031	11.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	43227	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	25946	60.0%
2	12250	28.3%
0	5031	11.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	43227	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	25946	60.0%
2	12250	28.3%
0	5031	11.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43227	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	25946	60.0%
2	12250	28.3%
0	5031	11.6%

education
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.7 MiB

1	22432
2	12447
0	6586
3	1762

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	43227
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	1
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
1	22432	51.9%
2	12447	28.8%
0	6586	15.2%
3	1762	4.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	22432	51.9%
2	12447	28.8%
0	6586	15.2%
3	1762	4.1%

Most occurring characters

Value	Count	Frequency (%)
1	22432	51.9%
2	12447	28.8%
0	6586	15.2%
3	1762	4.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	43227	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	22432	51.9%
2	12447	28.8%
0	6586	15.2%
3	1762	4.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	43227	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	22432	51.9%
2	12447	28.8%
0	6586	15.2%
3	1762	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43227	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	22432	51.9%
2	12447	28.8%
0	6586	15.2%
3	1762	4.1%

default
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.7 MiB

0	42415
1	812

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	43227
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	42415	98.1%
1	812	1.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	42415	98.1%
1	812	1.9%

Most occurring characters

Value	Count	Frequency (%)
0	42415	98.1%
1	812	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	43227	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	42415	98.1%
1	812	1.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	43227	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	42415	98.1%
1	812	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43227	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	42415	98.1%
1	812	1.9%

balance
Real number (ℝ)

Distinct	5661
Distinct (%)	13.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1758.8342

Minimum	0
Maximum	5660
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.7 MiB

Quantile statistics

Minimum	0
5-th percentile	726
Q1	974
median	1317
Q3	2139
95-th percentile	4427.7
Maximum	5660
Range	5660
Interquartile range (IQR)	1165

Descriptive statistics

Standard deviation	1138.2094
Coefficient of variation (CV)	0.64713854
Kurtosis	1.7361467
Mean	1758.8342
Median Absolute Deviation (MAD)	403
Skewness	1.5349918
Sum	76029126
Variance	1295520.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
914	3514	8.1%
915	195	0.5%
916	156	0.4%
918	139	0.3%
917	134	0.3%
919	113	0.3%
920	88	0.2%
922	81	0.2%
937	75	0.2%
924	69	0.2%
Other values (5651)	38663	89.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
5660	1	< 0.1%
5659	1	< 0.1%
5658	2	< 0.1%
5657	3	< 0.1%
5656	1	< 0.1%
5655	1	< 0.1%
5654	2	< 0.1%
5653	2	< 0.1%
5652	1	< 0.1%
5651	1	< 0.1%

housing
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.7 MiB

1	24236
0	18991

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	43227
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	24236	56.1%
0	18991	43.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	24236	56.1%
0	18991	43.9%

Most occurring characters

Value	Count	Frequency (%)
1	24236	56.1%
0	18991	43.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	43227	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	24236	56.1%
0	18991	43.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	43227	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	24236	56.1%
0	18991	43.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43227	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	24236	56.1%
0	18991	43.9%

loan
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.7 MiB

0	36105
1	7122

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	43227
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	36105	83.5%
1	7122	16.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	36105	83.5%
1	7122	16.5%

Most occurring characters

Value	Count	Frequency (%)
0	36105	83.5%
1	7122	16.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	43227	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	36105	83.5%
1	7122	16.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	43227	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	36105	83.5%
1	7122	16.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43227	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	36105	83.5%
1	7122	16.5%

contact
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.7 MiB

0	27939
2	12556
1	2732

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	43227
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
0	27939	64.6%
2	12556	29.0%
1	2732	6.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	27939	64.6%
2	12556	29.0%
1	2732	6.3%

Most occurring characters

Value	Count	Frequency (%)
0	27939	64.6%
2	12556	29.0%
1	2732	6.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	43227	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	27939	64.6%
2	12556	29.0%
1	2732	6.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	43227	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	27939	64.6%
2	12556	29.0%
1	2732	6.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43227	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	27939	64.6%
2	12556	29.0%
1	2732	6.3%

day
Real number (ℝ)

Distinct	31
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14.795591

Minimum	0
Maximum	30
Zeros	299
Zeros (%)	0.7%
Negative	0
Negative (%)	0.0%
Memory size	1.7 MiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	7
median	15
Q3	20
95-th percentile	28
Maximum	30
Range	30
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	8.3425065
Coefficient of variation (CV)	0.56385086
Kurtosis	-1.0671919
Mean	14.795591
Median Absolute Deviation (MAD)	7
Skewness	0.10082547
Sum	639569
Variance	69.597415
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
19	2539	5.9%
17	2195	5.1%
20	1871	4.3%
16	1861	4.3%
5	1854	4.3%
4	1836	4.2%
7	1793	4.1%
27	1779	4.1%
13	1766	4.1%
6	1756	4.1%
Other values (21)	23977	55.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	299	0.7%
1	1241	2.9%
2	1029	2.4%
3	1386	3.2%
4	1836	4.2%
5	1854	4.3%
6	1756	4.1%
7	1793	4.1%
8	1503	3.5%
9	499	1.2%

Value	Count	Frequency (%)
30	621	1.4%
29	1503	3.5%
28	1687	3.9%
27	1779	4.1%
26	1089	2.5%
25	993	2.3%
24	804	1.9%
23	432	1.0%
22	899	2.1%
21	873	2.0%

month
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.5085016

Minimum	0
Maximum	11
Zeros	2798
Zeros (%)	6.5%
Negative	0
Negative (%)	0.0%
Memory size	1.7 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	6
Q3	8
95-th percentile	9
Maximum	11
Range	11
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.993058
Coefficient of variation (CV)	0.54335247
Kurtosis	-0.98775852
Mean	5.5085016
Median Absolute Deviation (MAD)	2
Skewness	-0.47988898
Sum	238116
Variance	8.958396
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
8	13353	30.9%
5	6740	15.6%
1	5940	13.7%
6	5073	11.7%
9	3543	8.2%
0	2798	6.5%
3	2550	5.9%
4	1378	3.2%
10	673	1.6%
11	543	1.3%
Other values (2)	636	1.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2798	6.5%
1	5940	13.7%
2	198	0.5%
3	2550	5.9%
4	1378	3.2%
5	6740	15.6%
6	5073	11.7%
7	438	1.0%
8	13353	30.9%
9	3543	8.2%

Value	Count	Frequency (%)
11	543	1.3%
10	673	1.6%
9	3543	8.2%
8	13353	30.9%
7	438	1.0%
6	5073	11.7%
5	6740	15.6%
4	1378	3.2%
3	2550	5.9%
2	198	0.5%

duration
Real number (ℝ)

Distinct	1556
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	254.42894

Minimum	0
Maximum	1555
Zeros	3
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.7 MiB

Quantile statistics

Minimum	0
5-th percentile	35
Q1	103
median	180
Q3	318
95-th percentile	748
Maximum	1555
Range	1555
Interquartile range (IQR)	215

Descriptive statistics

Standard deviation	238.06908
Coefficient of variation (CV)	0.93569966
Kurtosis	6.0133958
Mean	254.42894
Median Absolute Deviation (MAD)	93
Skewness	2.2166832
Sum	10998200
Variance	56676.885
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
124	181	0.4%
90	174	0.4%
112	172	0.4%
122	171	0.4%
104	170	0.4%
89	169	0.4%
121	167	0.4%
119	167	0.4%
139	165	0.4%
114	165	0.4%
Other values (1546)	41526	96.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3	< 0.1%
1	1	< 0.1%
2	3	< 0.1%
3	4	< 0.1%
4	15	< 0.1%
5	33	0.1%
6	44	0.1%
7	71	0.2%
8	80	0.2%
9	74	0.2%

Value	Count	Frequency (%)
1555	1	< 0.1%
1554	1	< 0.1%
1553	1	< 0.1%
1552	1	< 0.1%
1551	1	< 0.1%
1550	1	< 0.1%
1549	1	< 0.1%
1548	1	< 0.1%
1547	1	< 0.1%
1546	1	< 0.1%

campaign
Real number (ℝ)

Distinct	47
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.765702

Minimum	0
Maximum	46
Zeros	16723
Zeros (%)	38.7%
Negative	0
Negative (%)	0.0%
Memory size	1.7 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	7
Maximum	46
Range	46
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	3.0749631
Coefficient of variation (CV)	1.7414961
Kurtosis	33.158692
Mean	1.765702
Median Absolute Deviation (MAD)	1
Skewness	4.6540338
Sum	76326
Variance	9.4553979
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
0	16723	38.7%
1	11979	27.7%
2	5271	12.2%
3	3389	7.8%
4	1698	3.9%
5	1241	2.9%
6	700	1.6%
7	514	1.2%
8	304	0.7%
9	255	0.6%
Other values (37)	1153	2.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	16723	38.7%
1	11979	27.7%
2	5271	12.2%
3	3389	7.8%
4	1698	3.9%
5	1241	2.9%
6	700	1.6%
7	514	1.2%
8	304	0.7%
9	255	0.6%

Value	Count	Frequency (%)
46	1	< 0.1%
45	1	< 0.1%
44	1	< 0.1%
43	2	< 0.1%
42	1	< 0.1%
41	1	< 0.1%
40	3	< 0.1%
39	2	< 0.1%
38	1	< 0.1%
37	3	< 0.1%

pdays
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	552
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40.169894

Minimum	0
Maximum	551
Zeros	35384
Zeros (%)	81.9%
Negative	0
Negative (%)	0.0%
Memory size	1.7 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	316
Maximum	551
Range	551
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	97.134225
Coefficient of variation (CV)	2.4180852
Kurtosis	4.9865121
Mean	40.169894
Median Absolute Deviation (MAD)	0
Skewness	2.4464704
Sum	1736424
Variance	9435.0577
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	35384	81.9%
179	157	0.4%
89	136	0.3%
88	120	0.3%
180	119	0.3%
178	115	0.3%
367	97	0.2%
361	76	0.2%
181	76	0.2%
347	71	0.2%
Other values (542)	6876	15.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	35384	81.9%
1	15	< 0.1%
2	37	0.1%
3	1	< 0.1%
4	2	< 0.1%
5	11	< 0.1%
6	10	< 0.1%
7	7	< 0.1%
8	24	0.1%
9	12	< 0.1%

Value	Count	Frequency (%)
551	1	< 0.1%
550	1	< 0.1%
549	1	< 0.1%
548	1	< 0.1%
547	1	< 0.1%
546	1	< 0.1%
545	1	< 0.1%
544	1	< 0.1%
543	1	< 0.1%
542	1	< 0.1%

previous
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	40
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.56883429

Minimum	0
Maximum	39
Zeros	35384
Zeros (%)	81.9%
Negative	0
Negative (%)	0.0%
Memory size	1.7 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	3
Maximum	39
Range	39
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.8558241
Coefficient of variation (CV)	3.2625039
Kurtosis	73.545907
Mean	0.56883429
Median Absolute Deviation (MAD)	0
Skewness	6.8118498
Sum	24589
Variance	3.444083
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
0	35384	81.9%
1	2629	6.1%
2	2003	4.6%
3	1080	2.5%
4	672	1.6%
5	441	1.0%
6	268	0.6%
7	194	0.4%
8	128	0.3%
9	86	0.2%
Other values (30)	342	0.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	35384	81.9%
1	2629	6.1%
2	2003	4.6%
3	1080	2.5%
4	672	1.6%
5	441	1.0%
6	268	0.6%
7	194	0.4%
8	128	0.3%
9	86	0.2%

Value	Count	Frequency (%)
39	1	< 0.1%
38	1	< 0.1%
37	1	< 0.1%
36	1	< 0.1%
35	1	< 0.1%
34	1	< 0.1%
33	2	< 0.1%
32	2	< 0.1%
31	1	< 0.1%
30	2	< 0.1%

poutcome
Categorical

HIGH CORRELATION IMBALANCE

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.7 MiB

3	35389
0	4662
1	1750
2	1426

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	43227
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	3
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
3	35389	81.9%
0	4662	10.8%
1	1750	4.0%
2	1426	3.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	35389	81.9%
0	4662	10.8%
1	1750	4.0%
2	1426	3.3%

Most occurring characters

Value	Count	Frequency (%)
3	35389	81.9%
0	4662	10.8%
1	1750	4.0%
2	1426	3.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	43227	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	35389	81.9%
0	4662	10.8%
1	1750	4.0%
2	1426	3.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	43227	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	35389	81.9%
0	4662	10.8%
1	1750	4.0%
2	1426	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43227	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	35389	81.9%
0	4662	10.8%
1	1750	4.0%
2	1426	3.3%

y
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.7 MiB

0	38239
1	4988

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	43227
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	38239	88.5%
1	4988	11.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	38239	88.5%
1	4988	11.5%

Most occurring characters

Value	Count	Frequency (%)
0	38239	88.5%
1	4988	11.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	43227	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	38239	88.5%
1	4988	11.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	43227	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	38239	88.5%
1	4988	11.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43227	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	38239	88.5%
1	4988	11.5%

Age Group
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.7 MiB

0	28542
1	9559
2	5126

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	43227
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	28542	66.0%
1	9559	22.1%
2	5126	11.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	28542	66.0%
1	9559	22.1%
2	5126	11.9%

Most occurring characters

Value	Count	Frequency (%)
0	28542	66.0%
1	9559	22.1%
2	5126	11.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	43227	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	28542	66.0%
1	9559	22.1%
2	5126	11.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	43227	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	28542	66.0%
1	9559	22.1%
2	5126	11.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43227	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	28542	66.0%
1	9559	22.1%
2	5126	11.9%

Auto

Heatmap
Table

	age	job	balance	day	month	duration	campaign	pdays	previous	marital	education	default	housing	loan	contact	poutcome	y	Age Group
age	1.000	-0.008	0.086	-0.008	-0.036	-0.034	0.039	-0.017	-0.011	0.329	0.136	0.020	0.223	0.065	0.162	0.071	0.163	0.807
job	-0.008	1.000	0.022	0.022	-0.085	0.004	0.015	-0.012	-0.005	0.190	0.421	0.031	0.270	0.102	0.138	0.058	0.127	0.356
balance	0.086	0.022	1.000	-0.002	0.015	0.043	-0.030	0.072	0.082	0.040	0.047	0.211	0.102	0.128	0.048	0.054	0.099	0.070
day	-0.008	0.022	-0.002	1.000	-0.003	-0.058	0.142	-0.093	-0.089	0.031	0.039	0.013	0.110	0.049	0.092	0.080	0.071	0.065
month	-0.036	-0.085	0.015	-0.003	1.000	0.011	-0.145	0.054	0.056	0.067	0.101	0.053	0.453	0.183	0.510	0.190	0.252	0.130
duration	-0.034	0.004	0.043	-0.058	0.011	1.000	-0.110	0.026	0.029	0.018	0.014	0.000	0.021	0.017	0.032	0.046	0.409	0.032
campaign	0.039	0.015	-0.030	0.142	-0.145	-0.110	1.000	-0.113	-0.109	0.020	0.012	0.013	0.039	0.015	0.045	0.051	0.059	0.029
pdays	-0.017	-0.012	0.072	-0.093	0.054	0.026	-0.113	1.000	0.986	0.034	0.053	0.037	0.199	0.053	0.204	0.606	0.239	0.055
previous	-0.011	-0.005	0.082	-0.089	0.056	0.029	-0.109	0.986	1.000	0.010	0.012	0.019	0.028	0.018	0.099	0.289	0.102	0.000
marital	0.329	0.190	0.040	0.031	0.067	0.018	0.020	0.034	0.010	1.000	0.122	0.018	0.021	0.052	0.045	0.028	0.065	0.290
education	0.136	0.421	0.047	0.039	0.101	0.014	0.012	0.053	0.012	0.122	1.000	0.012	0.118	0.078	0.123	0.034	0.072	0.124
default	0.020	0.031	0.211	0.013	0.053	0.000	0.013	0.037	0.019	0.018	0.012	1.000	0.005	0.075	0.023	0.040	0.021	0.015
housing	0.223	0.270	0.102	0.110	0.453	0.021	0.039	0.199	0.028	0.021	0.118	0.005	1.000	0.037	0.215	0.143	0.137	0.184
loan	0.065	0.102	0.128	0.049	0.183	0.017	0.015	0.053	0.018	0.052	0.078	0.075	0.037	1.000	0.015	0.054	0.067	0.003
contact	0.162	0.138	0.048	0.092	0.510	0.032	0.045	0.204	0.099	0.045	0.123	0.023	0.215	0.015	1.000	0.208	0.150	0.097
poutcome	0.071	0.058	0.054	0.080	0.190	0.046	0.051	0.606	0.289	0.028	0.034	0.040	0.143	0.054	0.208	1.000	0.310	0.042
y	0.163	0.127	0.099	0.071	0.252	0.409	0.059	0.239	0.102	0.065	0.072	0.021	0.137	0.067	0.150	0.310	1.000	0.080
Age Group	0.807	0.356	0.070	0.065	0.130	0.032	0.029	0.055	0.000	0.290	0.124	0.015	0.184	0.003	0.097	0.042	0.080	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	age	job	marital	education	default	balance	housing	loan	contact	day	month	duration	poutcome	Age Group
0	40	4	1	2	0	3034	1	0	2	4	8	261	3	1
1	26	9	2	1	0	943	1	0	2	4	8	151	3	0
2	15	2	1	1	0	916	1	1	2	4	8	76	3	0
3	29	1	1	3	0	2418	1	0	2	4	8	92	3	0
4	15	11	2	3	0	915	0	0	2	4	8	198	3	0
5	17	4	1	2	0	1145	1	0	2	4	8	139	3	0
6	10	4	2	2	0	1361	1	1	2	4	8	217	3	2
7	24	2	0	2	1	916	1	0	2	4	8	380	3	0
8	40	5	1	0	0	1035	1	0	2	4	8	50	3	1
9	25	9	2	1	0	1507	1	0	2	4	8	55	3	0

	age	job	marital	education	balance	loan	contact	day	month	duration	campaign	pdays	previous	poutcome	y	Age Group
45201	35	4	1	2	1497	0	0	16	9	226	0	181	4	2	1	1
45202	16	0	2	1	1471	0	0	16	9	224	0	0	0	3	1	0
45203	5	8	2	2	1027	0	0	16	9	266	0	0	0	3	1	2
45204	55	5	1	1	3676	0	0	16	9	300	0	37	8	0	1	1
45205	7	9	2	1	1419	1	0	16	9	386	1	0	0	3	1	2
45206	33	9	1	2	1739	0	0	16	9	972	2	0	0	3	1	1
45207	53	5	0	0	2637	0	0	16	9	456	1	0	0	3	1	1
45208	54	5	1	1	5453	0	0	16	9	1112	4	181	3	2	1	1
45209	39	1	1	1	1582	0	1	16	9	508	3	0	0	3	0	1
45210	19	2	1	1	3777	0	0	16	9	361	1	185	11	1	0	0

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII